Aims

This workshop aims to bring together researchers interested in the
interaction between probability and PDEs.
Particular interest will be devoted to the regularizing effect that comes from both: randomization of initial data and/or introduction of noise.
It is well--known that randomization of initial data allows to achieve local and global well--posedness results at lower regularity compared with the ones that one can reach by the deterministic theory. Strictly related is the question of existence of invariant measures for
the corresponding PDEs.It is also well--known in the literature that noise has a strong
regularizing effect on finite dimensional ODEs. For PDEs similar results are more difficult, but examples have been discovered where uniqueness of weak solutions is restored by noise, and blow-up is prevented by noise. A related problem is the selection of solutions to a deterministic problem when the noise is sent to zero. The main goal of this meeting is to disseminate information about the various recent techniques related to the aforementioned questions.
This workshop is also supported by: